Codon bias refers to the preferential use of some codons over others for an amino acid. While the genetic code is degenerate, different organisms exhibit biases in codon usage. Selection likely plays a role in driving biases through effects on translation efficiency and accuracy, though mutational biases also contribute. The strength and direction of codon biases can vary between genes and organisms. While selection maintains biases, the exact interplay between selection, mutation, and drift in determining biases remains an area of ongoing research.
this ppt contain about pcr technique and its three process,primers in pcr,dna polymerase in pcr,melting temp of dna in pcr and applications of pcr technology
1. A DNA microarray contains thousands of DNA probes attached to a solid surface in defined locations. Each probe represents a single gene.
2. Sample mRNA is converted to fluorescently labeled cDNA and hybridized to the DNA microarray. The level of fluorescence indicates the expression level of each gene.
3. After washing, the microarray is scanned and analyzed to determine changes in gene expression between control and test samples. This allows high-throughput analysis of gene expression profiles.
PCR is a technique used to amplify specific DNA sequences. It involves using DNA polymerase to replicate target DNA sequences across multiple temperature cycles. Key points:
1. PCR amplifies specific DNA segments through repeated cycles of heating and cooling. This allows millions of copies of the target DNA to be generated.
2. It was invented by Kary Mullis in 1983 and revolutionized molecular biology. Mullis shared the 1993 Nobel Prize in Chemistry for his invention.
3. PCR has many applications including pathogen detection, genetic testing, forensics, and molecular cloning. It is a core technique in molecular biology and genetics research.
The document discusses genomics, which is the study of an organism's entire genome, including all its genes and DNA. It defines key terms like genome and explains that genomics involves sequencing and analyzing genes at the DNA, mRNA, and protein levels. The document outlines different areas of genomics research like structural and functional genomics. It also discusses the goals of genomics and how genome sequencing is performed by breaking the genome into fragments that are then sequenced and pieced together.
Whole genome sequencing is the process of determining the complete DNA sequence of an organism's genome. It involves sequencing all chromosomal and organellar DNA. Key methods include shotgun sequencing, which randomly fragments DNA for sequencing, and single molecule real time sequencing, which observes individual DNA polymerases incorporating nucleotides in real time using fluorescent tags. Whole genome sequencing has provided insights into evolutionary biology and may help predict disease susceptibility, though technical challenges remain such as fully sequencing repetitive regions.
This document summarizes different computational methods for protein structure prediction, including homology modeling, fold recognition, threading, and ab initio modeling. Homology modeling relies on identifying proteins with similar sequences and known structures. Fold recognition and threading can be used when there are no homologs, to identify proteins with the same overall fold but different sequences. Ab initio modeling uses physics-based modeling and protein fragments to predict structure from sequence alone, and has challenges due to the vast number of possible conformations.
Three groups annotated the genome of Mycoplasma genitalium and found inconsistencies in their annotations. Of the 468 genes, 318 were annotated consistently by all three groups but 45 had conflicting annotations. Errors likely arose from insufficient sequence similarity to determine homology accurately or incorrectly inferring function based on homology alone. Database curation is needed to prevent propagation of erroneous annotations.
Codon bias refers to the preferential use of some codons over others for an amino acid. While the genetic code is degenerate, different organisms exhibit biases in codon usage. Selection likely plays a role in driving biases through effects on translation efficiency and accuracy, though mutational biases also contribute. The strength and direction of codon biases can vary between genes and organisms. While selection maintains biases, the exact interplay between selection, mutation, and drift in determining biases remains an area of ongoing research.
this ppt contain about pcr technique and its three process,primers in pcr,dna polymerase in pcr,melting temp of dna in pcr and applications of pcr technology
1. A DNA microarray contains thousands of DNA probes attached to a solid surface in defined locations. Each probe represents a single gene.
2. Sample mRNA is converted to fluorescently labeled cDNA and hybridized to the DNA microarray. The level of fluorescence indicates the expression level of each gene.
3. After washing, the microarray is scanned and analyzed to determine changes in gene expression between control and test samples. This allows high-throughput analysis of gene expression profiles.
PCR is a technique used to amplify specific DNA sequences. It involves using DNA polymerase to replicate target DNA sequences across multiple temperature cycles. Key points:
1. PCR amplifies specific DNA segments through repeated cycles of heating and cooling. This allows millions of copies of the target DNA to be generated.
2. It was invented by Kary Mullis in 1983 and revolutionized molecular biology. Mullis shared the 1993 Nobel Prize in Chemistry for his invention.
3. PCR has many applications including pathogen detection, genetic testing, forensics, and molecular cloning. It is a core technique in molecular biology and genetics research.
The document discusses genomics, which is the study of an organism's entire genome, including all its genes and DNA. It defines key terms like genome and explains that genomics involves sequencing and analyzing genes at the DNA, mRNA, and protein levels. The document outlines different areas of genomics research like structural and functional genomics. It also discusses the goals of genomics and how genome sequencing is performed by breaking the genome into fragments that are then sequenced and pieced together.
Whole genome sequencing is the process of determining the complete DNA sequence of an organism's genome. It involves sequencing all chromosomal and organellar DNA. Key methods include shotgun sequencing, which randomly fragments DNA for sequencing, and single molecule real time sequencing, which observes individual DNA polymerases incorporating nucleotides in real time using fluorescent tags. Whole genome sequencing has provided insights into evolutionary biology and may help predict disease susceptibility, though technical challenges remain such as fully sequencing repetitive regions.
This document summarizes different computational methods for protein structure prediction, including homology modeling, fold recognition, threading, and ab initio modeling. Homology modeling relies on identifying proteins with similar sequences and known structures. Fold recognition and threading can be used when there are no homologs, to identify proteins with the same overall fold but different sequences. Ab initio modeling uses physics-based modeling and protein fragments to predict structure from sequence alone, and has challenges due to the vast number of possible conformations.
Three groups annotated the genome of Mycoplasma genitalium and found inconsistencies in their annotations. Of the 468 genes, 318 were annotated consistently by all three groups but 45 had conflicting annotations. Errors likely arose from insufficient sequence similarity to determine homology accurately or incorrectly inferring function based on homology alone. Database curation is needed to prevent propagation of erroneous annotations.
''Electrophoretic Mobility Shift Assay'' by KATE, Wisdom DeebekeWisdom Deebeke Kate
This document describes an electrophoretic mobility shift assay (EMSA) presentation. EMSA is a technique used to study interactions between proteins and DNA. It works by detecting a reduction in electrophoretic mobility of DNA when bound to a protein through gel electrophoresis. The presentation aims to describe the basic principles of EMSA, highlight its methods, and discuss applications such as determining binding affinities and studying conformational changes in DNA upon protein binding.
For more information, you can visit https://www.creative-proteomics.com/services/protein-post-translational-modification-analysis.htm. In this video, we introduce some commonly used methods to detect PPIs and techniques for proteome-scale interactome maps.
This document discusses genome database systems. It begins with an introduction to bioinformatics and genomes. It then discusses the background of genome databases, including some examples. The major characteristics of genome database systems are described as having high complex data, schema changes at a rapid pace, and complex queries. The key areas of data management in genome databases are discussed as non-standard data, complex queries, data interpretation, integration across databases, and uniform management solutions. Major research areas and applications that impact society are also summarized.
Gene expression involves transcription of DNA into mRNA and translation of mRNA into protein. There are two main types of genes - constitutive genes which are continually expressed, and inducible genes which are expressed only when needed. Gene expression is regulated at multiple levels, including transcription, RNA processing, translation, and post-translational modification. Key mechanisms of transcriptional control include operons in prokaryotes and the actions of transcription factors in eukaryotes.
Gene prediction is the process of determining where a coding gene might be in a genomic sequence. Functional proteins must begin with a Start codon (where DNA transcription begins), and end with a Stop codon (where transcription ends).
Mr. Nitin Maruti Naik presented on phylogenetic analysis. Phylogenetic analysis involves constructing phylogenetic trees that depict the evolutionary relationships between species or genes. There are two main types of methods for phylogenetic analysis - distance methods that construct trees based on sequence similarity, and character methods that consider evolutionary pathways. Popular tools for phylogenetic analysis include PHYLIP, which offers parsimony, distance, and likelihood methods, and ClustalW, which performs progressive multiple sequence alignments.
The document summarizes genomic comparisons across different organisms. It discusses:
1) The first sequencing of bacterial genomes including Haemophilus influenzae, which has 1.8 million base pairs and 1,749 genes.
2) The sequencing of eukaryotic genomes including Saccharomyces cerevisiae, which has 16 chromosomes and approximately 5,885 protein-coding genes.
3) Key animal and plant genomes sequenced including Arabidopsis thaliana, Drosophila melanogaster, Mus musculus, and Homo sapiens. The human genome is approximately 3 billion base pairs long and contains around 30,000 genes.
This document discusses bacterial artificial chromosomes (BACs), which allow cloning and maintenance of large DNA fragments. BACs utilize the cloning system of E. coli plasmids, but can hold DNA fragments up to 350,000 base pairs in size. The key components of BACs include origins of replication for copying in bacteria, antibiotic resistance genes for selection, and restriction enzyme sites for inserting DNA fragments. BACs are used to clone and sequence entire genomes by reducing the number of clones needed compared to standard plasmids.
MPSS is a technique for analyzing gene expression that involves sequencing cDNA fragments cloned onto microbeads. It allows for the simultaneous sequencing of over 1 million cDNA clones. MPSS generates 17-base signature sequences that uniquely identify mRNA transcripts. Gene expression levels are quantified by counting the number of signatures for each gene. MPSS provides a more in-depth analysis of gene expression compared to other methods as it can detect genes expressed at very low levels and does not require prior knowledge of gene sequences.
Microarray technology allows researchers to analyze gene expression levels on a genomic scale. DNA microarrays contain many genes arranged on a slide that can be used to detect differences in gene expression between samples. The microarray workflow involves sample preparation, hybridization of labeled cDNA to the array, image scanning, data normalization and statistical analysis to identify differentially expressed genes between conditions. Multiple testing is a challenge and statistical methods must account for false positives and negatives.
Phage display is a technique for displaying antibody fragments or proteins on the surface of bacteriophages. It allows the rapid selection of antibodies that bind to a target antigen from large libraries of antibody variants. The key steps involve constructing phage libraries that display antibody fragments, panning the libraries against the target antigen to select for binding phages, amplifying these phages, and then identifying antibodies that bind to the antigen through sequencing and testing. Phage display has applications in diagnostics, research, and therapeutics, producing antibodies that can detect antigens, be used as research tools, or developed as treatments for diseases like cancer.
Secondary structure prediction tools analyze a protein's amino acid sequence to predict its 3D structure and function. These tools use various methods like Chou-Fasman, GOR, neural networks, and hidden Markov models to identify alpha helices and beta sheets based on characteristics like residue propensity values, sequence homology, and patterns in windows of amino acids. Accurate prediction of secondary structure is important for determining a protein's tertiary structure and biological role.
Codon usage bias refers to the phenomenon where synonymous codons that code for the same amino acid are not used equally. There are several factors that influence codon usage bias. Highly expressed genes and genes located towards the 3' end of genes show stronger codon bias, likely due to selection for optimized translation. Codon bias is also correlated with expression level and breadth. Regions of genes with high codon bias also tend to evolve more slowly due to selection maintaining optimal codons. Overall, codon usage bias results from a balance between mutational biases and natural selection for efficient and accurate translation.
Covalent bonds, peptide bonds, and disulfide bridges stabilize protein structures through strong covalent interactions. Non-covalent interactions like van der Waals forces, hydrogen bonds, electrostatic interactions, and hydrophobic effects also contribute to protein stability. These non-covalent interactions are weaker than covalent bonds but work together in large numbers to stabilize a protein's native conformation. Perturbations can disrupt this delicate balance of interactions and cause protein denaturation.
An update version of the genome assembly including the mention of techniques such as HiC and Bionano. Also include the QC. These are the same slides used in the course for the UNL in Argentina.
DNA analysis is a technique used to identify individuals by examining unique DNA sequences in their genomes. DNA profiles are created by scanning 13 specific regions of DNA and comparing samples from crime scenes to those of suspects. If the profiles match, it suggests the suspect was likely involved in the crime. DNA evidence has helped convict many criminals but also exonerate innocent people wrongly accused. Its use has prompted new laws regarding DNA collection and databases to solve crimes.
This document discusses dot plot analysis, which allows comparison of two biological sequences to identify similar regions. It describes how dot plots are generated using a similarity matrix and defines different features that can be observed, such as identical sequences appearing on the principal diagonal, direct and inverted repeats appearing as multiple diagonals, and low complexity regions forming boxes. Applications of dot plot analysis include identifying alignments, self-base pairing, sequence transposition, and gene locations between genomes. Limitations include high memory needs for long sequences and low efficiency for global alignments.
Post-translational modifications (PTMs) refer to any alterations made to proteins after their initial synthesis, such as modification of amino acid side chains. PTMs influence protein structure, stability, activity, and more. Common PTMs include phosphorylation, glycosylation, methylation, and hydroxylation. PTMs are important for proper protein folding, conferring stability, and regulating protein activity and function. They increase proteome diversity and complexity.
The Kyoto Encyclopedia of Genes and Genomes (KEGG) is a collection of online databases containing information on genomes, enzymatic pathways, and biological chemicals. KEGG aims to computerize current biological knowledge, provide consistent genome annotations, and develop new informatics technologies. It contains six main databases - KEGG Pathway, KEGG Genes, KEGG Genome, KEGG Ligand, KEGG BRITE, and KEGG Cancer - that catalog pathways, genes, genomes, chemical reactions, functional hierarchies, and cancer pathways respectively.
Dr. ladli kishore (microbial genetics and variation) (1)Drladlikishore2015
This document discusses the history and key concepts of microbial genetics and variation, including:
1. It outlines the history of genetics from Mendel's experiments in 1865 to the discovery of gene sequencing in the 1970s.
2. It defines genes, chromosomes, DNA, and how genetic information is stored and expressed through proteins.
3. It explains genetic processes like transcription, translation, mutation, and gene regulation, and how genetic material can be transferred between bacteria.
This document discusses the concept and structure of genes. It covers:
1) The definition of a gene has evolved over time from Mendel's idea of genes as discrete hereditary units to the modern definition as a segment of DNA that codes for a polypeptide or protein.
2) Genes have a molecular structure consisting of coding sequences flanked by regulatory sequences, and can be divided into functional (cistron), recombination (recon), and mutation (muton) units.
3) Prokaryotic genes are often organized into operons controlled by a single promoter, while eukaryotic genes are split into introns and exons.
''Electrophoretic Mobility Shift Assay'' by KATE, Wisdom DeebekeWisdom Deebeke Kate
This document describes an electrophoretic mobility shift assay (EMSA) presentation. EMSA is a technique used to study interactions between proteins and DNA. It works by detecting a reduction in electrophoretic mobility of DNA when bound to a protein through gel electrophoresis. The presentation aims to describe the basic principles of EMSA, highlight its methods, and discuss applications such as determining binding affinities and studying conformational changes in DNA upon protein binding.
For more information, you can visit https://www.creative-proteomics.com/services/protein-post-translational-modification-analysis.htm. In this video, we introduce some commonly used methods to detect PPIs and techniques for proteome-scale interactome maps.
This document discusses genome database systems. It begins with an introduction to bioinformatics and genomes. It then discusses the background of genome databases, including some examples. The major characteristics of genome database systems are described as having high complex data, schema changes at a rapid pace, and complex queries. The key areas of data management in genome databases are discussed as non-standard data, complex queries, data interpretation, integration across databases, and uniform management solutions. Major research areas and applications that impact society are also summarized.
Gene expression involves transcription of DNA into mRNA and translation of mRNA into protein. There are two main types of genes - constitutive genes which are continually expressed, and inducible genes which are expressed only when needed. Gene expression is regulated at multiple levels, including transcription, RNA processing, translation, and post-translational modification. Key mechanisms of transcriptional control include operons in prokaryotes and the actions of transcription factors in eukaryotes.
Gene prediction is the process of determining where a coding gene might be in a genomic sequence. Functional proteins must begin with a Start codon (where DNA transcription begins), and end with a Stop codon (where transcription ends).
Mr. Nitin Maruti Naik presented on phylogenetic analysis. Phylogenetic analysis involves constructing phylogenetic trees that depict the evolutionary relationships between species or genes. There are two main types of methods for phylogenetic analysis - distance methods that construct trees based on sequence similarity, and character methods that consider evolutionary pathways. Popular tools for phylogenetic analysis include PHYLIP, which offers parsimony, distance, and likelihood methods, and ClustalW, which performs progressive multiple sequence alignments.
The document summarizes genomic comparisons across different organisms. It discusses:
1) The first sequencing of bacterial genomes including Haemophilus influenzae, which has 1.8 million base pairs and 1,749 genes.
2) The sequencing of eukaryotic genomes including Saccharomyces cerevisiae, which has 16 chromosomes and approximately 5,885 protein-coding genes.
3) Key animal and plant genomes sequenced including Arabidopsis thaliana, Drosophila melanogaster, Mus musculus, and Homo sapiens. The human genome is approximately 3 billion base pairs long and contains around 30,000 genes.
This document discusses bacterial artificial chromosomes (BACs), which allow cloning and maintenance of large DNA fragments. BACs utilize the cloning system of E. coli plasmids, but can hold DNA fragments up to 350,000 base pairs in size. The key components of BACs include origins of replication for copying in bacteria, antibiotic resistance genes for selection, and restriction enzyme sites for inserting DNA fragments. BACs are used to clone and sequence entire genomes by reducing the number of clones needed compared to standard plasmids.
MPSS is a technique for analyzing gene expression that involves sequencing cDNA fragments cloned onto microbeads. It allows for the simultaneous sequencing of over 1 million cDNA clones. MPSS generates 17-base signature sequences that uniquely identify mRNA transcripts. Gene expression levels are quantified by counting the number of signatures for each gene. MPSS provides a more in-depth analysis of gene expression compared to other methods as it can detect genes expressed at very low levels and does not require prior knowledge of gene sequences.
Microarray technology allows researchers to analyze gene expression levels on a genomic scale. DNA microarrays contain many genes arranged on a slide that can be used to detect differences in gene expression between samples. The microarray workflow involves sample preparation, hybridization of labeled cDNA to the array, image scanning, data normalization and statistical analysis to identify differentially expressed genes between conditions. Multiple testing is a challenge and statistical methods must account for false positives and negatives.
Phage display is a technique for displaying antibody fragments or proteins on the surface of bacteriophages. It allows the rapid selection of antibodies that bind to a target antigen from large libraries of antibody variants. The key steps involve constructing phage libraries that display antibody fragments, panning the libraries against the target antigen to select for binding phages, amplifying these phages, and then identifying antibodies that bind to the antigen through sequencing and testing. Phage display has applications in diagnostics, research, and therapeutics, producing antibodies that can detect antigens, be used as research tools, or developed as treatments for diseases like cancer.
Secondary structure prediction tools analyze a protein's amino acid sequence to predict its 3D structure and function. These tools use various methods like Chou-Fasman, GOR, neural networks, and hidden Markov models to identify alpha helices and beta sheets based on characteristics like residue propensity values, sequence homology, and patterns in windows of amino acids. Accurate prediction of secondary structure is important for determining a protein's tertiary structure and biological role.
Codon usage bias refers to the phenomenon where synonymous codons that code for the same amino acid are not used equally. There are several factors that influence codon usage bias. Highly expressed genes and genes located towards the 3' end of genes show stronger codon bias, likely due to selection for optimized translation. Codon bias is also correlated with expression level and breadth. Regions of genes with high codon bias also tend to evolve more slowly due to selection maintaining optimal codons. Overall, codon usage bias results from a balance between mutational biases and natural selection for efficient and accurate translation.
Covalent bonds, peptide bonds, and disulfide bridges stabilize protein structures through strong covalent interactions. Non-covalent interactions like van der Waals forces, hydrogen bonds, electrostatic interactions, and hydrophobic effects also contribute to protein stability. These non-covalent interactions are weaker than covalent bonds but work together in large numbers to stabilize a protein's native conformation. Perturbations can disrupt this delicate balance of interactions and cause protein denaturation.
An update version of the genome assembly including the mention of techniques such as HiC and Bionano. Also include the QC. These are the same slides used in the course for the UNL in Argentina.
DNA analysis is a technique used to identify individuals by examining unique DNA sequences in their genomes. DNA profiles are created by scanning 13 specific regions of DNA and comparing samples from crime scenes to those of suspects. If the profiles match, it suggests the suspect was likely involved in the crime. DNA evidence has helped convict many criminals but also exonerate innocent people wrongly accused. Its use has prompted new laws regarding DNA collection and databases to solve crimes.
This document discusses dot plot analysis, which allows comparison of two biological sequences to identify similar regions. It describes how dot plots are generated using a similarity matrix and defines different features that can be observed, such as identical sequences appearing on the principal diagonal, direct and inverted repeats appearing as multiple diagonals, and low complexity regions forming boxes. Applications of dot plot analysis include identifying alignments, self-base pairing, sequence transposition, and gene locations between genomes. Limitations include high memory needs for long sequences and low efficiency for global alignments.
Post-translational modifications (PTMs) refer to any alterations made to proteins after their initial synthesis, such as modification of amino acid side chains. PTMs influence protein structure, stability, activity, and more. Common PTMs include phosphorylation, glycosylation, methylation, and hydroxylation. PTMs are important for proper protein folding, conferring stability, and regulating protein activity and function. They increase proteome diversity and complexity.
The Kyoto Encyclopedia of Genes and Genomes (KEGG) is a collection of online databases containing information on genomes, enzymatic pathways, and biological chemicals. KEGG aims to computerize current biological knowledge, provide consistent genome annotations, and develop new informatics technologies. It contains six main databases - KEGG Pathway, KEGG Genes, KEGG Genome, KEGG Ligand, KEGG BRITE, and KEGG Cancer - that catalog pathways, genes, genomes, chemical reactions, functional hierarchies, and cancer pathways respectively.
Dr. ladli kishore (microbial genetics and variation) (1)Drladlikishore2015
This document discusses the history and key concepts of microbial genetics and variation, including:
1. It outlines the history of genetics from Mendel's experiments in 1865 to the discovery of gene sequencing in the 1970s.
2. It defines genes, chromosomes, DNA, and how genetic information is stored and expressed through proteins.
3. It explains genetic processes like transcription, translation, mutation, and gene regulation, and how genetic material can be transferred between bacteria.
This document discusses the concept and structure of genes. It covers:
1) The definition of a gene has evolved over time from Mendel's idea of genes as discrete hereditary units to the modern definition as a segment of DNA that codes for a polypeptide or protein.
2) Genes have a molecular structure consisting of coding sequences flanked by regulatory sequences, and can be divided into functional (cistron), recombination (recon), and mutation (muton) units.
3) Prokaryotic genes are often organized into operons controlled by a single promoter, while eukaryotic genes are split into introns and exons.
Genetics plays an important role in orthodontics and malocclusion. The document discusses the history of genetics from Mendel's laws to modern discoveries. It describes DNA, genes, and how they are regulated. Genetic factors influence craniofacial development and conditions like cleft lip/palate. Different malocclusions such as Class II and Class III may have genetic or environmental causes. Overall, the document provides an overview of genetics and its relevance to orthodontics and malocclusion etiology.
Comparative genomics in eukaryotes, organellesKAUSHAL SAHU
Comparative genomics involves comparing the genomic features of different organisms, such as DNA sequences, genes, and gene order. This field has revealed both similarities and differences between organisms that can provide insights into evolutionary relationships. Some of the first comparative genomic studies compared large DNA viruses. Since then, many complete genome sequences have been determined, including for yeast, fruit flies, worms, plants, mice, and humans. While humans have around 35,000 genes, complexity is not solely due to gene number. Comparative analysis of human and mouse genomes shows 40% sequence similarity and similar gene numbers, but different genome sizes. Mitochondrial genomes also yield insights when compared between domains of life. Computational tools like BLAST are used to facilitate genomic
Regulation of eukaryotic gene expressionMd Murad Khan
The document discusses various mechanisms of regulating gene expression in eukaryotes. It explains that regulation can occur at multiple levels, including DNA, transcription, mRNA processing, and protein synthesis. Key points include: (1) Regulation allows adaptation and cellular differentiation; (2) In eukaryotes, transcription and translation are separated, allowing more complex regulation; (3) Regulation mechanisms include controlling chromatin structure, transcription initiation, mRNA splicing/stability, and protein modifications. Environmental factors like heat and hormones can also induce gene expression changes through transcription factors.
The Human Genome Project was an international scientific research project with the goal of determining the sequence of nucleotide base pairs that make up human DNA. It originally aimed to map the over three billion nucleotides contained in the human genome. The finished human genome is a mosaic assembled from sequencing a small number of individuals. The project has provided insights into human genetics and disease research.
How is Genetic Information Passed on from the.pptxDiovieLubos2
Genetic information is passed from parents to offspring through DNA, which contains genes. Genes determine traits that are inherited. In sexual reproduction, offspring inherit half their genes from each parent, making them unique. Genetic engineering uses techniques like recombinant DNA to take genes from one organism and insert them into another, creating transgenic organisms. This allows for useful modifications, like producing plants resistant to pests through genes from bacteria. Genetic engineering has also created glow-in-the-dark cats and faster-growing chickens and pigs.
genomic proteomic changes by Suyash Garg.pptxsuyashempire
Genomic and proteomic changes result from mutations in genes and proteins over generations. At the genomic level, genes can evolve through gene duplication, exon shuffling, unequal crossing over, mobile elements, gene fusion/fission, whole genome duplication, and de novo gene formation. This results in changes to gene families, domains, and entirely new genes. At the proteomic level, proteins evolve through changes in amino acid sequences over time, as seen with differences in hemoglobin, myoglobin and cytochrome c molecules across species. These molecular changes underlie biological evolution.
The document summarizes the organization of genetic material on chromosomes. It discusses that genetic material includes DNA and RNA, which is stored on chromosomes in the nucleus, mitochondria, and cytoplasm. It then describes key differences in how genetic material is organized in prokaryotes versus eukaryotes, including that prokaryotes generally have circular DNA without histones while eukaryotes have linear DNA packaged into nucleosomes with histones. The document also notes that mitochondria and chloroplasts contain organelle DNA and that viruses can have DNA or RNA as their genetic material organized inside a protein capsule.
this is done by me and my team mates of Wayamba University Sri Lanka for our project.From now we decided to allow download this file.I would be greatful if you could send your comments..
And I'm willing to help you in similar works.I'm in final year of my degree(.BSc Biotechnology)..
pubudu_gokarella@yahoo.com
contains descriptive and other studies on genetics and epigenetics and whole gene concepts from central dogma to future concepts . Dr Harshavardhan Patwal
This document provides an overview of genomics, including its history, major research areas, and applications. Genomics is concerned with studying the genomes of organisms, including determining entire DNA sequences and genetic mapping. Major research areas discussed include bacteriophage, human, computational, and comparative genomics. Applications of genomics discussed include functional genomics, predictive medicine, metagenomics for medicine, biofuels and more. The first genomes sequenced were small viruses and mitochondria, while the human genome project aimed to map the entire human DNA sequence.
The document discusses the differences between prokaryotic and eukaryotic genomes. Prokaryotes generally have a single, circular chromosome while eukaryotes have multiple linear chromosomes within a membrane-bound nucleus. The human genome contains around 3 billion base pairs divided between nuclear and mitochondrial DNA. The nuclear genome encodes around 20,000-25,000 protein-coding genes and is inherited equally from both parents, while mitochondrial DNA is maternally inherited.
This document discusses the structure of genes at the molecular level. It begins by defining a gene and describing genes' physical structures in DNA and RNA. It then explains the functional structures of genes, including promoters, introns, and exons. The document contrasts the structures of eukaryotic and prokaryotic genes, noting that eukaryotic genes often contain introns while prokaryotic genes do not. It concludes by defining genetic fine structure as the analysis of genes at the nucleotide level.
Genetic engineering uses enzymes to cut and join DNA strands, allowing scientists to insert specific genes from one organism into another. Plasmids are small, circular DNA molecules that naturally occur in bacteria and can contain genes. Plasmids can replicate independently of the bacterial chromosome and can carry genes that provide bacteria with useful traits like antibiotic resistance. Scientists use plasmids to move genes between organisms by inserting the gene of interest into a plasmid and introducing this into the host organism.
Wiki glossary epigenetic control of gene expressionBárbara Pérez
This document is a glossary defining terms related to epigenetics and gene expression. It defines over 80 key terms concisely, including definitions for adenosine triphosphate, alleles, autosomes, Barr body, bisulfite sequencing, blastocyst, boundary element, central dogma, chromatin, chromosome, cytosine methylation, DNA methylation, epigenetic reprogramming, epigenetics, embryonic stem cells, euchromatin, gene, genomic imprinting, histones, homologous chromosomes, imprinted genes, meiosis, mitosis, mRNA, nucleosome, placenta, and pluripotent cells. The glossary provides succinct yet informative definitions for fundamental concepts in molecular biology
The document discusses various concepts related to genetics and genes. It defines key terms like DNA, mRNA, gene, coding region, exons, introns, regulatory sequences, alleles, loci, genotype, phenotype, traits, karyotype and more. It explains genes are segments of DNA that encode instructions to make proteins, while regulatory sequences control gene expression. mRNA carries gene copies from DNA in the nucleus to cellular machinery for protein production.
1. Cell membranes protect cell organelles and allow things to enter through diffusion or osmosis. Enzymes speed up chemical reactions and their activity depends on temperature, pH, and ionic conditions. Prokaryotic cells lack nuclei while eukaryotic cells have nuclei and viruses infect cells.
2. RNA is used in protein synthesis. Transcription transmits DNA information to RNA and translation uses mRNA to make proteins. The endoplasmic reticulum and Golgi apparatus move and package proteins.
3. Photosynthesis uses chloroplasts to convert sunlight into chemical energy in sugars. Mitochondria produce ATP through glucose breakdown. Macromolecules like polysaccharides are made from smaller precursors.
Achievements of Biotechnology and PTC in Horticultural Crops.pptxAmit Rulhania
1) The document discusses the introduction of biotechnology and its application to modify plants, animals, and microorganisms to improve their value.
2) Transgenic plants are defined as plants that have genes from another species introduced into their genome through genetic engineering. Examples of transgenic plants developed for virus resistance in squash, apple, tomato, and papaya are provided.
3) Plant tissue culture is described as a collection of techniques used to grow plant cells, tissues, or organs under sterile conditions for propagation of plants like potato, banana, sugarcane, orchids, and medicinal plants.
Achievements of Biotechnology in Agriculture.pptxAmit Rulhania
Biotechnology has significantly improved agriculture through genetic engineering, plant tissue culture, marker-assisted breeding, and microbial biotechnology. Key achievements include developing genetically modified crops that are resistant to pests and diseases and tolerant of environmental stresses, using plant tissue culture for micropropagation and secondary metabolite production, employing marker-assisted breeding to more efficiently develop crops with desired traits, and utilizing microorganisms as biofertilizers and biopesticides to enhance plant growth and productivity in a sustainable manner. Molecular diagnostic tools such as PCR and microarrays have also revolutionized disease management in agriculture by enabling rapid and accurate pathogen detection.
This document summarizes the development and applications of transgenic plants. It discusses how the first transgenic plant was produced in 1983 by inserting a gene for kanamycin resistance into tobacco. Since then, transgenic crops with traits like herbicide resistance, insect resistance, drought tolerance, and improved nutritional content have been developed. The document provides examples of specific genes inserted into plants and their effects, such as genes conferring resistance to glyphosate or Bt toxins. It also discusses uses of transgenic plants beyond agriculture, such as for producing vaccines, antibodies, and non-food compounds.
Enzymatic activity in seed germination.pptxAmit Rulhania
This document discusses the key enzymatic activities that occur during seed germination. It explains that the scutellum and aleurone layer produce hydrolytic enzymes that mobilize storage materials in the endosperm to support early seedling growth. Some key enzymes and their roles are then outlined, including amylases breaking down starch into sugars, proteases breaking down proteins into amino acids, and lipases breaking down lipids into fatty acids and glycerol to provide energy. Other enzymes like cellulases, phosphatases, and respiration-related enzymes also facilitate nutrient breakdown and energy production during seed germination.
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
Adhd Medication Shortage Uk - trinexpharmacy.comreignlana06
The UK is currently facing a Adhd Medication Shortage Uk, which has left many patients and their families grappling with uncertainty and frustration. ADHD, or Attention Deficit Hyperactivity Disorder, is a chronic condition that requires consistent medication to manage effectively. This shortage has highlighted the critical role these medications play in the daily lives of those affected by ADHD. Contact : +1 (747) 209 – 3649 E-mail : sales@trinexpharmacy.com
Histololgy of Female Reproductive System.pptxAyeshaZaid1
Dive into an in-depth exploration of the histological structure of female reproductive system with this comprehensive lecture. Presented by Dr. Ayesha Irfan, Assistant Professor of Anatomy, this presentation covers the Gross anatomy and functional histology of the female reproductive organs. Ideal for students, educators, and anyone interested in medical science, this lecture provides clear explanations, detailed diagrams, and valuable insights into female reproductive system. Enhance your knowledge and understanding of this essential aspect of human biology.
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Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
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Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
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2. Introduction
Gene is unit of heredity which is transferred from a parent to
offspring.
Term gene coined by Johanson in 1909.
Gene theory proposed by T. H. Morgan.
First Mendel used the term “Factor” for gene which is hereditary
unit.
Suton and Boveri suggest that gene are present on chromosome.
The gene are arranged on the chromosome in the linear order and
that region on which gene present is called locus.
3. Number of Genes on a Single Chromosome
Total number of genes on a single chromosome is different in different organisms.
Bacteriophage virus R17 consists of only three genes, SV40 consists of 5-10
genes.
E. coli bacteria have more than 3000 genes on single 1 mm long chromosome.and
each chromosome in human contains hundreds to thousands of genes.
4. Genes are Separated into exons (protein-coding) and introns (non-protein
coding)
Average number of exons per gene ~ 10 (1-363)
Average length of a gene ~ 54,000bp (200-24,000,000bp)
Average exon size ~ 288bp (10-180bp)
Intron size range ~ 30-11,000,000bp
5.
6.
7. Types of Gene
On the basis of their behavior, the genes may be classified into the following types:
1. Basic genes: These are the fundamental genes that bring about expression of
particular character.
2. Lethal genes: These bring about the death their possessor.
3. Multiple genes: When two or more pairs of independent genes act together to
produce a single phenotypic trait.
8. 4. Cumulative genes: Some genes have additive effects on the action of other
genes. These are called cumulative genes.
5. Pleiotropic genes: The genes which produce changes in more than one
character is called pleiotropic gene.
6. Modifying genes: The gene which cannot produce a character by it self but
interacts with other to produce a modified effect is called modified gene.
7. Inhibitory genes: The gene which suppresses or inhibits the expression of
another gene is called inhibitory gene.
9. Gene Action
One gene–one enzyme hypothesis
The idea that genes act through the production of enzymes, with each gene
responsible for producing a single enzyme that in turn affects a single step in
a metabolic pathway.
The concept was proposed by George Beadle and Edward Tatum.
He took genetic mutations in the mold Neurospora crassa, and subsequently
was dubbed the "one gene–one enzyme hypothesis"
Some genes are encode protein that are not enzyme. Enzyme are just category
of protein.
Some genes encode a subunit of protein ,not whole protein.
10. One gene–one polypeptide
One gene one enzyme hypothesis was modified by Vernon Ingram in 1962.
The theory that each gene is responsible for the synthesis of a single
polypeptide.
It was originally stated as the one gene-one enzyme hypothesis by the US
geneticist George Beadle in 1945 but later modified when it was realized that
genes also encoded non enzyme proteins and individual polypeptide chains.
It is now known that some genes code for various types of RNA involved in
protein synthesis.
11. Gene in Protein Synthesis
To explain the mechanism of gene action in protein synthesis is regulated by
three specific genes located on chromosomes.
1. Structural genes: It regulates to produce specific m-RNA and determine
the kind of protein to be synthesized.
2. Operator genes: These genes act as switches to turn on or turn off the
activities of structural genes, regulating the elongation and termination of
polypeptide chain.
3. Rugulator genes: These genes produce certain protienaceous substance
called repressors which prevent the operator genes from their action.
13. Genome
A Genome is an organism’s complete set of DNA, including all its genes.
Genome is the complete set of genetic information in an organism.
Types of genome:
1. Viral genome
2. Prokaryotic genome
3. Eukaryotic genome
14.
15. Viruses have genes that encode a minimum of two proteins:
i. Replicase- an enzyme that replicates the genome.
ii. Capsid- a protein that protects genome.
Viruses may have genes that encode for proteins that help in infection.
i. Glycoprotein- (enveloped viruses only) allows virus to enter a cell, targets
specific cell types for virus, and aids in virus assembly.
ii. Host shutoff proteins- virus proteins that shutoff host activities so only virus
genes get made.
iii. Anti-host defense proteins- These proteins prevent the host defense
mechanism from stopping virus replicator.
16. Prokaryotic Genome
Prokraytic genome are two type bacteria and archaea.
The size of prokaryotic genome about 1 million to 10 million base pair of DNA.
The size of Bacterial chromosomes ranges from 0.6 Mbp to 10Mbp.
The size of Archael chromosomes ranges from 0.5Mbp to 5.8Mbp.
The size of prokaryotic genome is directly related to their metabolic capabilities-
more gene means more protein and enzymes make.
The maximum part of prokaryotic DNA is working.
The smallest Archae genome is from Nanoarchaeum equtans (491kbp).
The smallest Bacterial genome is from mycoplasma genitalium (580kbp).
The smallest free-living organisms have a genome size over 1Mbp.
17.
18. Eukaryotic Genomes
Eukaryotic genomes are composed of one or more linear DNA
chromosomes. Gametes, such as ova, sperm, spores, and pollen, are
haploid, meaning they carry only one copy of each chromosome.
Eukaryotic genome size are variable in taxonomic group that is why called
C-paradox.
The C value paradox is that the amount of DNA in a haploid genome (the
1C value) does not seem to correspond strongly to the complexity of an
organism.
There is two type of genome in eukaryotic cells-
i. Nuclear genome
ii. Organelle genome
19.
20. i. Nuclear Genome
It is the major part of eukaryotic DNA in which 85% of which junk and only
15% of DNA is in working.
Nuclear genome includes-introns, exons, jumping gene or transposons.
The nuclear genome refers to the DNA in the chromosomes contained in the
nucleus; in the case of humans the DNA in the 46 chromosomes.
It is the nuclear genome that defines a multicellular organism; it will be the
same for all cells of the organism.
22. Mitochondrial DNA
Mitochondrial DNA (mt DNA or m DNA) is the DNA located in mitochondria,
cellular organelles within eukaryotic cells that convert chemical energy from food
into a form that cells can use, adenosine triphosphate (ATP)
Mitochondrial DNA contains 37 genes, all of which are essential for normal
mitochondrial function.
Thirteen of these genes provide instructions for making enzymes involved in
oxidative phosphorylation.
23. Plastids DNA
Plastids are the site of manufacture and storage of important chemical
compounds used by the cells of eukaryotes.
They often contain pigments used in photosynthesis, and the types of
pigments in a plastid determine the cell's color.
Plastids that contain chlorophyll can carry out photosynthesis and are
called chloroplasts.
Plastids can also store products like starch.
24. In plants, plastids may differentiate into several forms, depending upon which
function they play in the cell.
Chloroplasts: Green plastids for photosynthesis; see also etioplasts, the
predecessors of chloroplasts
Chromoplasts: Coloured plastids for pigment synthesis and storage
Elaioplasts: For storing fat.